About the job
Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U. S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.
About the Role
At Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.
Work Location:
This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.
To support our team, we provide:
Commuter benefits to facilitate your travel
Lunches and snacks to keep you energized
A collaborative, high-growth environment where you will work alongside talented colleagues from various departments
We are hiring for three primary domains, Product, Risk, and Growth, allowing you to apply your expertise where your passion lies:
What You’ll Do
Product:
Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.
Risk:
Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.
Growth:
Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.
